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Space–Time Relationship between Short-Term Exposure to Fine and Coarse Particles and Mortality in a Nationwide Analysis of Korea: A Bayesian Hierarchical Spatio-Temporal Model

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Department of Applied Statistics, Hanyang University, Seoul 04763, Korea
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Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea
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Department of Environmental Engineering, Anyang University, Anyang 14028, Korea
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Department of Mathematics, Hanyang University, Seoul 04763, Korea
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Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(12), 2111; https://doi.org/10.3390/ijerph16122111
Received: 12 April 2019 / Revised: 12 June 2019 / Accepted: 13 June 2019 / Published: 14 June 2019
(This article belongs to the Special Issue Time-Space Modeling of the Health Effects of Environment)
Previous studies have shown an association between mortality and ambient air pollution in South Korea. However, these studies may have been subject to bias, as they lacked adjustment for spatio-temporal structures. This paper addresses this research gap by examining the association between air pollution and cause-specific mortality in South Korea between 2012 and 2015 using a two-stage Bayesian spatio-temporal model. We used 2012–2014 mortality and air pollution data for parameter estimation (i.e., model fitting) and 2015 data for model validation. Our results suggest that the relative risks of total, cardiovascular, and respiratory mortality were 1.028, 1.047, and 1.045, respectively, with every 10-µg/m3 increase in monthly PM2.5 (fine particulate matter) exposure. These findings warrant protection of populations who experience elevated ambient air pollution exposure to mitigate mortality burden in South Korea. View Full-Text
Keywords: air pollution; mortality; cardiovascular disease; respiratory disease; spatio-temporal model; Poisson model; Bayesian approach air pollution; mortality; cardiovascular disease; respiratory disease; spatio-temporal model; Poisson model; Bayesian approach
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MDPI and ACS Style

Kang, D.; Jang, Y.; Choi, H.; Hwang, S.-s.; Koo, Y.; Choi, J. Space–Time Relationship between Short-Term Exposure to Fine and Coarse Particles and Mortality in a Nationwide Analysis of Korea: A Bayesian Hierarchical Spatio-Temporal Model. Int. J. Environ. Res. Public Health 2019, 16, 2111. https://doi.org/10.3390/ijerph16122111

AMA Style

Kang D, Jang Y, Choi H, Hwang S-s, Koo Y, Choi J. Space–Time Relationship between Short-Term Exposure to Fine and Coarse Particles and Mortality in a Nationwide Analysis of Korea: A Bayesian Hierarchical Spatio-Temporal Model. International Journal of Environmental Research and Public Health. 2019; 16(12):2111. https://doi.org/10.3390/ijerph16122111

Chicago/Turabian Style

Kang, Dayun, Yujin Jang, Hyunho Choi, Seung-sik Hwang, Younseo Koo, and Jungsoon Choi. 2019. "Space–Time Relationship between Short-Term Exposure to Fine and Coarse Particles and Mortality in a Nationwide Analysis of Korea: A Bayesian Hierarchical Spatio-Temporal Model" International Journal of Environmental Research and Public Health 16, no. 12: 2111. https://doi.org/10.3390/ijerph16122111

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